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潮涌“人工智能+” 逐浪新质生产力
Chang Sha Wan Bao· 2026-01-04 02:50
湖南具身智能创新中心。均为园区供图 在蓝思科技高端车载显示元器件智能工厂,各条产线有序运行,其中,高精度AI视觉检测系统正闪烁着微光, 瞬息间精准捕捉产品表面的微小瑕疵。人工智能技术在此得到综合运用,企业通过研发智能装备和工业互联网 位于长沙经开区的广汽埃安长沙智能生态工厂。 长沙经开区鸟瞰图 走进长沙经开区,处处能感受到蓬勃的智能脉动。 如今,这里正以"人工智能+"为核心引擎,推动制造业向智能化、绿色化、融合化全面演进,持续探索"产业AI 化"与"AI产业化"互促共进之路,为湖南打造国家重要先进制造业高地注入强劲动能。 顶层擘画,构筑"人工智能+"政策新体系 发展人工智能产业,既需有"仰望星空"的前瞻视野,也离不开"脚踏实地"的系统支撑。 平台集成了核心业务系统,从而实现了对关键生产过程的精准控制。 这幅智能制造的图景背后,是产业链的紧密耦合。作为长沙经开区人工智能产业链的关键企业,蓝思科技与宇 环数控等众多园区上下游企业紧密协同。这种"你中有我、我中有你"的协同,已非简单的上下游供货,而是技 术共生、能力共进的深度创新生态,是长沙经开区推动产业链整体智能化升级的生动缩影。 在铁建重工的车间,盾构机装上两千 ...
架起人工智能赋能千行百业的桥梁
Liao Ning Ri Bao· 2025-11-21 00:45
Group 1 - The core idea of the news is the establishment of the AI Empowerment Center in Dalian Jinpu New Area, which aims to support the transformation of traditional industries through AI and digital solutions [1] - The center provides comprehensive support for enterprises, including resource integration, technology connection, cost estimation for transformation, policy subsidy application guidance, and full-stack digital solutions to help businesses overcome the "digital divide" and improve efficiency [1] - The center has developed two customized demonstration lines: one for discrete production lines serving the automotive parts and equipment manufacturing industries, and another for process production lines aimed at the pharmaceutical, chemical, and food industries [1] Group 2 - Dongfeng Motor Group's subsidiary, Dalian Wind God Logistics Co., Ltd., faced challenges with traditional tire assembly quality inspection methods, which were inefficient and posed quality risks [2] - The AI Empowerment Center designed a high-precision AI visual inspection system for the company, significantly improving detection accuracy and allowing workers to transition to logistics scheduling and order verification roles, thus enhancing quality and productivity [2] - The center also showcased a domestically developed intelligent controller with microsecond-level processing speed and support for up to 2000 I/O points, which has been successfully implemented in manufacturing processes [2]